Results 51 to 60 of about 83,689 (283)
Waveform Recognition in Pulse Compression Radar Systems [PDF]
In this paper a system for recognizing pulse compression radar waveforms is introduced. The waveforms considered in this study are the linear frequency modulation (LFM), Costas codes, binary phase codes, and the Frank, P1, P2, P3, and P4 codes. A feature vector based on instantaneous signal properties, second- and higher-order statistics, and time ...
J. Lunden, L. Terho, V. Koivunen
openaire +1 more source
Cardiac‐Derived ECM Microspheres for Enhanced hiPSC‐CMs Maturation
Cardiac extracellular matrix microspheres derived from decellularized porcine heart provide a biomimetic 3D microenvironment for human induced pluripotent stem cell–derived cardiomyocytes (hiPSC‐CMs). This platform supports short‐ and long‐term culture, enhances structural organization, and promotes electrophysiological and functional maturation of ...
Jiazhu Xu +9 more
wiley +1 more source
Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley +1 more source
A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction
Multi-function radar (MFR) work modes recognition is an important research component of the electronic reconnaissance field. When facing MFR systems equipped with complex mode-waveform mapping relationships and flexible beam scanning techniques, the ...
Zhiyuan Li +5 more
doaj +1 more source
Unknown Radar Waveform Recognition Based on Transferred Deep Learning
Radar signals are emerging constantly for urgent task because of its complex patterns and rich working modes. For some radar waveforms with known modulation methods, they can be identified by correlation between radar prior knowledge and the received ...
Anni Lin +4 more
doaj +1 more source
Application of multivariate analysis to electrical penetration graphs using manual and automate waveform recognization from the planthopper Peregrinus maidis feeding on susceptible and resistant maize [PDF]
The stylet penetration activities of Peregrinus maidis (Ashmead) (Homoptera: Delphacidae), vector of Maize mosaic virus (MMV) and Maize stripe virus (MStV) were studied by electrical penetration graphs (DC-EPG) on resistant and susceptible maize inbred ...
Buduca, Cécile +5 more
core
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
Polymorph engineering in ErMnO3 enables low‐voltage, forming‐free threshold switching with tunable negative differential resistance. Conducting orthorhombic regions embedded in an insulating hexagonal matrix provide controlled Joule‐heating‐enhanced Poole–Frenkel transport. The hexagonal phase prevents excessive heating and breakdown.
Rong Wu +8 more
wiley +1 more source
ObjectiveTo improve the efficiency and accuracy of videonystagmography calibration test results while enabling effective recognition of saccadic undershoot waveform by developing a dual-stream architecture-based deep learning model.
Xu LUO +4 more
doaj +1 more source
ECG Waveform Classification Based on P-QRS-T Wave Recognition
Electrocardiogram (ECG) is a periodic signal reflects the activity of the heart. ECG waveform is an important issue to define the heart function so it is helpful to recognize the type of heart diseases.
Muzhir Shaban Al-Ani
doaj +1 more source

